Machete DGX vs Cadence

Machete DGX puts your NVIDIA DGX Spark in your pocket. Monitor, manage and experiment with your AI server from anywhere — live GPU dashboard, full SSH terminal, Docker management, local LLM chat and a built-in Hugging Face model hub, all in one app. LIVE GPU DASHBOARD • Real-time GPU, CPU, memory, disk and network metrics • Temperature and utilization charts at a glance • Catch problems before they cost you a training run SSH TERMINAL • Full SSH terminal with a real terminal emulator • Multiple sessions, hardware-keyboard friendly DOCKER MANAGEMENT • List, start, stop and inspect containers • Stream container logs in real time CHAT WITH YOUR OWN LLM • Talk directly to the LLM running locally on your DGX Spark • Your prompts stay on your hardware, not in someone else's cloud HUGGING FACE MODEL HUB • Search Hugging Face without leaving the app • Download models straight to your server • Launch them with fully editable runtime parameters COMMUNITY SOLUTIONS • Ready-to-run model recipes shared by the community • Star the best ones and run them in a tap • Publish your own configurations ALERTS & REPORTS • Push and e-mail alerts for temperature, utilization and job events • Daily e-mail reports with your server's health summary SCHEDULED BACKUPS • Back up to S3, Google Drive, Dropbox, Box, FTP or SCP • Set the schedule once, get notified about every run ONE-TAP SETUP • Install the on-server agent directly from the app — no manual configuration MAKE IT YOURS • Deep theming and customization • 9 interface languages • Settings sync across devices with a Supabase account PRIVACY FIRST • SSH credentials never leave your device • Your Hugging Face token is stored encrypted — in the device Keychain and in Supabase Vault • Direct device-to-server connections MACHETE PRO Monitoring your Spark is free. Machete Pro unlocks the power features: • Download and launch Hugging Face models on your Spark • SSH terminal and console access • Docker container management • 24/7 agent: alerts, scheduled backups and reports • Image generation and LLM chat • Multiple servers and the live training monitor Machete Pro is an auto-renewable subscription, offered monthly or yearly. Payment is charged to your App Store account at confirmation of purchase. The subscription renews automatically unless auto-renew is turned off at least 24 hours before the current period ends; the renewal is charged within 24 hours before the period ends. Manage or cancel anytime in your App Store account settings. Privacy Policy: https://dgx.down.pl/machete/privacy/ Terms of Use (EULA): https://dgx.down.pl/machete/terms/ Built for developers, ML engineers and homelab enthusiasts who want their DGX Spark within arm's reach at all times. Requires an NVIDIA DGX Spark (or compatible Linux host) reachable over SSH. This app is not affiliated with or endorsed by NVIDIA Corporation.

adence shows every contribution you have made to GitHub on one screen: commits, pull requests, issues and reviews, from your first year to today. Pick a window and the grid and the total recompute. Swipe to step a year. All is simply the widest window: one row per year, one cell per month, every year you have. READ-ONLY ACCESS The scope is read:user, the narrowest permission that can count private contributions. Nothing can be pushed or edited, and your code is never read. Revoke it on GitHub at any time. NO ACCOUNT Nothing to sign up for. You approve a code on GitHub's own page and the token stays in your device keychain. There are no Cadence servers, no analytics and no advertising. WORKS OFFLINE Your history is cached on the device, so every window and every year reads without a connection. Nothing is disabled and nothing is greyed out; a quiet line names the date the record reaches. FREE, NO ADS Cadence is free, with no in-app purchases and no ads. WHAT GETS COUNTED The totals come from GitHub's own contribution calendar, so everything it counts is inside every number here, private contributions included. Commits, pull requests, issues and reviews are broken out per day; discussions and new repositories are in the total only, because GitHub does not report them separately.